{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.3.0'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "from torch.nn import functional as F\n",
    "from torch import optim\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib.animation\n",
    "import math, random\n",
    "torch.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3.3 通过Sin预测Cos\n",
    "在介绍循环神经网络时候我们说过，循环神经网络由于其的特殊结构，十分十分擅长处理时间相关的数据，下面我们就来通过输入sin函数，输出cos函数来实际使用。\n",
    "首先，我们还是定义一些超参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "TIME_STEP = 10 # rnn 时序步长数\n",
    "INPUT_SIZE = 1 # rnn 的输入维度\n",
    "DEVICE = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\") \n",
    "H_SIZE = 64 # of rnn 隐藏单元个数\n",
    "EPOCHS=300 # 总共训练次数\n",
    "h_state = None # 隐藏层状态"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由于是使用sin和cos函数，所以这里不需要dataloader，我们直接使用Numpy生成数据，Pytorch没有π这个常量，所以所有操作都是用Numpy完成"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "steps = np.linspace(0, np.pi*2, 256, dtype=np.float32)\n",
    "x_np = np.sin(steps) \n",
    "y_np = np.cos(steps)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "生成完后，我们可视化一下数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FrSZiuCGIBSedZG3opk2zL1GYvPiilTW6+Wa44YYo6oszWrSAl16y0hk33ugJZ06csGSJ9Qtu0cJqpBShxBc3BLHimmugZ08YNSqsukSzZ9tF8NRTYcyYGOiLMy68EIYNM4MwdmzQapyk56+/zEUtWdI8/HLlglYUUSJiCETkbBFZLCLLRGRQNu+PFZHvQ48lIrI503t7Mr33XiT0xC1jx1p0wXXXwcKFOa62caONItWqZeVKotWvOt657TZr/TBwoNX3c5xAUIXOnc0jeP31IhmtUWhDICLFsTaU5wCNgY4i0jjzOqr6H1VtqaotgUeBtzK9/U/Ge6ravrB64pqMHINy5ewKt2XLPquomp347TdbtSiFieYXEStFcfDBlkS3cWPQipyk5NFHzQsYNcpqCRVBIuERtAGWqepyVd0JvAZ0yGX9jliP4+Skdm2YOBGWLrWhoiw8/LCVkBg1ClJSAtAXZ1SqZAZx/Xq7KUtPD1qRk1TMnWvp7uefb/XdiyiRMAQHAaszvV4TWrYPInIIUA+YmmlxGRFJFZFvRSTHNCIR6RpaLzUtLS0CsgPklFMs4uCll+Dll/cunj3bsms7dIBevYKTF2+0amXzJB9+aJ3+HCcmbNlisds1asBzzxWpyeGsRMIQZHd2corzuAJ4Q1X3ZFpWR1VTgCuBh0SkfnYbquo4VU1R1ZTq1asXTnE8cNttcMIJ0KMHLF/On3/ad65WLXj22SL9nSsQPXtaIudtt5nBdJyoompl5Zcvt/phVasGrSiqRMIQrAEOzvS6NrA2h3WvIMuwkKquDT0vB6YDR0ZAU/xTooR5BMWKwVVX0evmdH75xZoZJWI10WgjAuPGmaG8+mrYti1oRU6R5sUXzQAMGQInnhi0mqgTCUMwG2ggIvVEpBR2sd8n+kdEjgAqAzMyLassIqVDf1cDjgcWREBTYnDIIfDUU7z1bS0mvFSM22+35kZO9lSqZAmdixdbJJHjRIXVq+GWW8wADB4ctJqYUGhDoKq7gZuBycBCYJKqzheRoSKSOQqoI/Ca6r/SgxoBqSLyAzANGKGqyWMIgPWnXkG30s9zFHO448yZQcuJe047zXr+PPaYFd9znIiSnm7lb/fsgeeft4qISYBoAqZtpqSkaGpqatAyCo2qTQx/8okyt/IZNK60Fr77zrq0ODmyfbtNIG/aZKW5i/jwrRNLHn/cUvmfegq6dQtaTcQRkTmhOdl/4ZnFAfL88xYqet99QuPnB8CiRXD33UHLinvKlLHpld9/Nw/ecSLC0qUWKnr22dZLJIlwQxAQv/5qYcknnxwKT27b1ioZjh7tabRhcOSRcMcdNrn+/vtBq3ESnj174NprrZdIEasjFA5uCAJA1cIhd+2yzNliGf+FBx+Egw6y1GIvu5kngwZB06YWgfvnn0GrcRKaJ5+Eb76BRx6x32CS4YYgAN54w0otDx0K9TNnTVSsaFVKFy2yWudOrpQqZTkX69Z5FJFTCFavtuigtm2hU6eg1QSCG4IY88cfNhfVqlUOGett25pH8OCDNhPq5Err1tC3rzWKmj49aDVOwpHhnqen2wRxkg0JZeCGIMb072/F08aPt5yybBk1yoLmu3b14jphMGSIeVZdusA//wStxkkoJk2CDz6wmud16watJjDcEMSQqVNtKKN/f2jZMpcVq1a14jrffmvptE6ulCtnI2o//wz33Re0Gidh+OMPK+qVkpL0xb08jyBG7NwJzZtbp8p586y3fa6owplnQmqq9S6oVSsmOhOZq6+2wq7z5lmHUMfJla5d7c5szhzrOpYEeB5BwIwda6URHn00DCMANlb55JMWPVSEy99GktGjzTvo2dPbWzp5MGuWjc/27p00RiA33BDEgNWrLULoggvgnHPysWGDBhYsP2kSfPJJ1PQVFWrWtKGhqVPhtdeCVuPELXv2wE032RfGEzgBNwQxoW9fu0MtUO/d/v3hsMPszmXnzohrK2p062ZDvn37em6BkwP//a8NuY4ebSHbjhuCaDNliuUN3H57AYMSSpeGhx6y3ILHHou0vCJH8eI2orZ+Pdx5Z9BqnLhj40bLGTjpJLjyyqDVxA0+WRxFduywCeL0dPjpJ7umF5jzzoMvv7QG2gccEDGNRZWePS3g6vvvLfvYcQBrNjN+fNJ+MXyyOADGjrXr9qOPFtIIgHkFO3ZYXQUnT4YOhf32s5LVCXiv40SD1FS7O7jllqQ0ArnhhiBKrF4N994LF15oxQwLTYMGNvD9wgtelC4MqlWzRLNPP/WidA7mlt90k/Uf9vIt+xARQyAiZ4vIYhFZJiL73LKKyLUikiYi34ceXTK911lEloYenSOhJx4YPNiCE8aMieBOb78dDjzQ7mg84zhPevSARo3Mfu7YEbQaJ1AmTLCQ0VGjYP/9g1YTdxTaEIhIceBx4BygMdBRRBpns+pEVW0ZeowPbVsFuBs4GmgD3C0ilQurKWhmzYKXX4Zbb41w1nqFCvZFTk21RBgnV0qWtOG5n3+2opJOkvL333DbbXD00UlbVC4vIuERtAGWqepyVd0JvAZ0CHPbtsAUVf1DVTcBU4BIDKQEhqrdgdasGaXh/I4d4YQT7Ivt8ZF50rYttGtnw3Tr1wetxgmEUaOsRO2YMUlbVC4vImEIDgJWZ3q9JrQsKxeLyI8i8oaIHJzPbROGN96Ar7+2Glb77ReFA4jYxHFaGowcGYUDFD0efNAStG+/PWglTsz59Vd44AG47DI47rig1cQtkTAE2ZnYrHEa7wN1VbU58CnwQj62tRVFuopIqoikpqWlFVhsNNm+HQYMgGbNrJJ01GjVylzcsWPhl1+ieKCiweGHW02xjLIyThJxxx02WTdiRNBK4ppIGII1wMGZXtcG1mZeQVU3qmrGdN0zQKtwt820j3GqmqKqKdWrV4+A7MjzyCOwcqV5oMWLR/lgw4fbONQdd0T5QEWDO++0oq79+nk4adIwd65F2fXuDfXqBa0mromEIZgNNBCReiJSCrgCeC/zCiKSuXRme2Bh6O/JwFkiUjk0SXxWaFnCsWGDDQe1awdnnBGDA9apY0HyL75oX3gnV/bf38rKTJ8O//d/Qatxoo6qRWtUrWrzaU6uFNoQqOpu4GbsAr4QmKSq80VkqIi0D63WS0Tmi8gPQC/g2tC2fwD3YsZkNjA0tCzhuPtua4oyalQMDzpokAXM33qr3+aGQdeuVrZpwAAbLXCKMO+9Z1Z/yBBr8uTkipeYiAALF1qiYs+elkUcUx5/3Hpfvv++uSNOrrzxBlx6qdUdu/76oNU4UWHXLmjSxFoA/vhjLq0Ak4+cSky4IYgAF11kGaw//wwxn77YtcusULFi1pHFv/S5ogrHHmuZ30uXWv8Cp4jx5JN2V+Y3R/vgtYaixIwZ8PbbVi06kDnskiUtPG7RIuvX6OSKiA3frV0LDz8ctBon4vz9txWaOuEEK9TohIUbgkKgCgMHWvLYf/4ToJD27eHEE2089O+/AxSSGJx4op2y+++3dAynCPHII/DbbxYu6sljYeOGoBB89JFVhr7rLqv+EBgi9sVfv95rKYTJiBFmM4cNC1qJEzH++MOSLM8/H44/Pmg1CYUbggKyZ48VlqtfH268MWg1WNZku3Y2TLRpU9Bq4p5GjaBLF3jiCZvbcYoAI0bAX39Zjo2TL9wQFJBXXrG52eHDbZg+Lhg+3OoPPfBA0EoSgnvusf+dVyUuAqxZYyF7V19tqf1OvnBDUAB27LBM1aOOslDEuKF5cytK9/DDVmTLyZVatayi98svWwc5J4EZMsRKsw8ZErSShMQNQQF48klYtcqGI4vF2xkcOtRCSn3wOywGDLDigHfdFbQSp8AsWmSFpHr0iHDd9+Qh3i5jcc+WLTYCc8YZMSolkV/q17fB73HjYPnyoNXEPVWrWmL222/D7NlBq3EKxJ13WkKIl5IoMG4I8skjj8Dvv8f5fNSdd/rgdz7o08cMgtfvS0Bmz7Z08VtvtTaUToFwQ5APNm+G0aMtOq1Nm6DV5EJGO8uXXvLB7zCoWNEiwD75BD7/PGg1Tr4YPPh/9bacAuOGIB+MGWPGYOjQoJWEQcbgt9/mhkXPnmY/b7/d6/clDJ9/Dp99Zv+0qHSBSh7cEITJ779bH5hLLoGWLYNWEwZVq1rdi3ffhW+/DVpN3FO2rI2off21l6lOGIYMgQMOgG7dglaS8LghCJNRoywTNaGi0/r0sXFT79EYFtdfb/1L7rjDIhGdOOaLL2DaNKvxUrZs0GoSHjcEYfDbb5arctVV0Lhx0GryQYUK1rNg6lT74Ti5UqqUGfrvvoM33wxajZMr7g1EFDcEYXD//bBzpzWfSTi6d7cfTEKKjz1XXmnG/q67vHlN3PLVV3ZzM2CAewMRIiKGQETOFpHFIrJMRAZl835fEVkgIj+KyGcickim9/aIyPehx3tZtw2a1avhqafg2mutu1XCUbaseQXTp9vDyZXixeHeey1H6eWXg1bjZMuQIVby172BiFHoxjQiUhxYApyJNaOfDXRU1QWZ1jkVmKmq20SkB3CKql4eem+rquardmcsG9N0725Ji0uXwiGH5L1+XPLPP2bFDjvMjIGX580VVSsfsnWrdZ/zXj9xxNdfW6+B0aM9ZLQARLMxTRtgmaouV9WdwGtAh8wrqOo0Vd0WevktUDsCx406y5dbS8OuXRPYCIB5BYMH2zzB1KlBq4l7RGwkbdkyKy7oxBFDhlgARPfuQSspUkTCEBwErM70ek1oWU7cAGQO0CsjIqki8q2IXJDTRiLSNbRealqMuokMHWp3g0Uic71LFzjoILvCeaB8nnToYGHC994Lu3cHrcYB4JtvYMoUC4suXz5oNUWKSBiC7MYZsr3SiEgnIAUYlWlxnZCrciXwkIjUz25bVR2nqimqmlI9Bj0hly2zxNzu3S3RKOEpU8bCSL/+2hosO7kiYhU6li3zuYK4YcgQ6wfbo0fQSoockTAEa4CDM72uDazNupKInAHcDrRX1R0Zy1V1beh5OTAdODICmgrNffdZuZ4BA4JWEkGuvx4OPti9gjBp3969grjh22+tBoh7A1EhEoZgNtBAROqJSCngCuBf0T8iciTwNGYENmRaXllESof+rgYcDywgYJYvhwkTbG6gVq2g1USQ0qXNK5gxAyZPDlpN3JPhFfz8s3sFgTNkiNUU6tkzaCVFkkIbAlXdDdwMTAYWApNUdb6IDBWR9qHVRgEVgNezhIk2AlJF5AdgGjAic7RRUNx/v80NDBwYtJIocN11NvPtXkFYtG8PRx7pXkGgzJwJH38M/fq5NxAlCh0+GgTRDB9duRIaNLC5gUcfjcohgmf8eGu0/OGHcO65QauJe957zyaPn3vO8kmcGHPuuTBrlv04K+Qr0tzJQjTDR4sU999vXceKpDeQQefOVlTHvYKwOP98yysYNsy9gpgza5ZVAezXz41AFHFDkIlffrG7vhtugNoJkelQQEqWtMpqqanwwQdBq4l7Ms8VvPhi0GqSjKFDoUoVuOmmoJUUadwQZGLECHsetE+RjCLI1VfDoYfaFc69gjxp1+5/XsGuXUGrSRJmz7bhy1tv9X4DUcYNQYg1ayyL+PrroU6doNXEgJIlrQD/3LnuFYRBhlewfLl7BTFj6FCoXBluvjloJUUeNwQhRoywGvSDBwetJIZ06uReQT5o1w5atXKvICbMmWM3KLfear1EnajihgD49Vd45hmLCEnomkL5pUQJmyuYO9dccCdXMryCFSvcK4g6Q4aYN3DLLUErSQrcEAAPPGDeQJGoKZRfOnWyCKIhQ9wrCIPzzoOUFBg+3L2CqDF3Lrz/PvznP+4NxIikNwTr1sG4cXDNNXY9TDoyRxB99FHQauIeEWtas3y5ZxtHjaFDoVIl6NUraCVJQ9IbggcesDu7pPQGMrj6avcK8kG7dpZt7HkFUeC77+Ddd80b2H//oNUkDUltCH77zbqPdeoE9bOteZoklCxpNYhmz7bkHSdXMryCn3/2fgURZ+hQMwDuDcSUpDYEo0dbL+Lbbw9aSRxwzTVQt657BWHSoQO0aOFeQUT54Qd45x3o08eGhpyYkbSGYMMGeOIJuOoqqy2U9JQsaeNjs2ZZgS8nVzK8glqGtN8AACAASURBVKVL4bXXglZTRMjwBvr0CVpJ0pG0hmD0aNixw72Bf9G5s8XPulcQFhdcAM2amVewZ0/QahKcH3+Et96C3r3dGwiApDQEaWnw+ONwxRVwxBFBq4kjSpUyr2DmTGsC4uRKsWLmFSxeDBMnBq0mwRk61EJF3RsIhKQ0BGPGwD//WNSkk4Vrr7UaG55tHBYXXQRNm1q/AvcKCsi8efDmm+YNVK4ctJqkJOkMwcaN8NhjcPnl0KhR0GrikAyv4NtvrVG4kyvFilnJpkWL4PXXg1aToAwdakXl3BsIjIgYAhE5W0QWi8gyEdmndqeIlBaRiaH3Z4pI3UzvDQ4tXywibSOhJzfGjIG//3ZvIFeuu856G7tXEBaXXAKNG5tXkJ4etJoE46ef4I03LFy0SpWg1SQthTYEIlIceBw4B2gMdBSRxllWuwHYpKqHAWOBkaFtG2M9jpsAZwNPhPYXFf74w7qOXXIJNGkSraMUATK8ghkz4NNPg1YT92R4BQsW2DXNyQf33msNZ/7zn6CVJDWR8AjaAMtUdbmq7gReAzpkWacD8ELo7zeA00VEQstfU9UdqroCWBbaX1R46CHYssV+tE4eXHeddedxryAsLr0UGja0UQ73CsJk/nwbT+vVC6pWDVpN3LNokdW6Wr488vuOhCE4CFid6fWa0LJs1wk1u/8TqBrmtgCISFcRSRWR1LS0tAIJTUuDyy6zkD8nD0qXNq/gm2/gs8+CVhP3FC9uNxjz51sUpBMG995rzej79g1aSUIwfDhMnx6dHj2RMASSzbKst5A5rRPOtrZQdZyqpqhqSvXq1fMp0XjySS8JkC+uv969gnxw+eUWjuxeQRgsWACTJlnTGfcG8mTpUrt29egBBbz85UokDMEa4OBMr2sDa3NaR0RKAPsDf4S5bUQpHrUZiCJI6dLWqefrr2Hq1KDVxD3Fi1sQwrx5VinByYV774Vy5azxjJMn991nU3f9+kVn/5EwBLOBBiJST0RKYZO/72VZ5z2gc+jvS4Cpqqqh5VeEoorqAQ2AWRHQ5ESKG26Agw7ybOMwueIKK1niXkEuLFxoGXg33wzVqgWtJu7JaITUrRsccEB0jlFoQxAa878ZmAwsBCap6nwRGSoi7UOr/ReoKiLLgL7AoNC284FJwALgY+AmVfW0nHiidGkYNAi+/BKmTQtaTdyT0fTthx/gvay3Q44xbBiULeveQJjcf795m/37R+8Yogl4l5eSkqKpqalBy0getm+3Ot2HHWazVZLd1I6Twe7dlqy4337WetdPVyYWLbLY7VtvtWYgTq788ov97G680criFBYRmaOqKVmXJ11msVMAypQxr+CLL8wQOLlSooQVM/zuO+u46GRi2DD7PkVrsLuIMXKkPQ8cGN3juCFwwuPGG6FWLZsrcPKkUyc49FCfWvkXS5bAq69Cz55Qo0bQauKeX3+F8eOtKHCdOtE9lhsCJzwyvILPP3evIAwyvIK5c+HDD4NWEycMG2ZzTu4NhMWIERZwEIs2um4InPBxryBfeCvoTCxZAi+/bN5AzZpBq4l71q6FZ54xb6Bevegfzw2BEz5ly9pg5fTp5hk4uZLR9C011VtBM3y4eQPRDH0pQowcaUEHsfAGwA2Bk1+6drVgZvcKwuKaa7zpG8uWmTfQvbt7A2Gwbh2MG2ffnUMPjc0x3RA4+SPDK5g2zaKInFzJKOQ6axZMnhy0moAYNszcowEDglaSEIwcCbt2xbaNrhsCJ/9062Z3du4VhEVG07ek9Ap+/hleesm8gWilxRYh1q2Dp5+2+aX69WN3XDcETv7J8AqmTrWMYydXSpWykk1J2fRt+HD3BvLBqFGx9wbADYFTUNwryBcZ7R2Syiv4+WeYMMHmlWrVClpN3PPbb/DUU3DVVZZNHEvcEDgFo1w5u8v77DOrTurkSkYh16Rq75AxNzBon+61TjaMGgU7dgTTRtcNgVNwune3DFH3CsIiqQq5LltmJTO7d3dvIAzWr7d+KVddZdVrY40bAqfglCtnceFTptitrpMrGYVcv/oqCZKz773XJkeiXSSniDB6dHDeALghcApLRssk9wrCoksXOPDAIn66liyxSKEePTxSKAw2bIAnnoCOHeHww4PR4IbAKRzly5tX8MknMGNG0GrinjJl7Cb588+LcHL2vfea++ORQmHx4INW6T0obwAKaQhEpIqITBGRpaHnytms01JEZojIfBH5UUQuz/Te8yKyQkS+Dz1aFkaPExA9e1qnqSJ9mxs5bryxCCdnL15szXW9plBYpKXBY49ZZ7uGDYPTUViPYBDwmao2AD4Lvc7KNuAaVW0CnA08JCKVMr3fX1Vbhh7fF1KPEwQZXsHkyRYs7+RK5uTsIpeGMXSouT3uDYTFgw/CP/8E6w1A4Q1BB+CF0N8vABdkXUFVl6jq0tDfa4ENQPVCHteJN9wryBdFMg1j0SLrN3DTTd5vIAx+/928gcsvt452QVJYQ1BTVdcBhJ5z/e+LSBugFPBzpsXDQ0NGY0WkdCH1OEFRoYLVmf/4Y5g5M2g1cU/ZskUwDWPo0P9Fkjl5MmoUbNsGd94ZtJIwehaLyKdAdlP/twMvqGqlTOtuUtV95glC79UCpgOdVfXbTMt+w4zDOOBnVR2aw/Zdga4AderUabVq1arcP5kTe7Zuhbp1oU0b+OijoNXEPdu2Wa35Fi1srj2hWbAAmjY16zZiRNBq4p7ffrPKohdfbOkWsaLAPYtV9QxVbZrN411gfehinnFR35DDwSsCHwJ3ZBiB0L7XqbEDeA5ok4uOcaqaoqop1av7yFJckuEV/N//WblNJ1cyp2EkfMDV0KE2V+Tdx8JixAjYuRPuvjtoJUZhh4beAzqH/u4MvJt1BREpBbwNTFDV17O8l2FEBJtf+KmQepyguekmqFKliA1+R48ePYrA1Mr8+TBpEtxyi30YJ1dWr7Ys4muvjX1NoZworCEYAZwpIkuBM0OvEZEUERkfWucy4CTg2mzCRF8WkXnAPKAaMKyQepyg2W8/uyv86COYPTtoNXFPxk305MkJPLUyZIh5g7feGrSShGD4cCsxEg9zAxnkOUcQj6SkpGhqamrQMpyc2LLF5gqOPRY++CBoNXFPxtRK69YJ2NLyhx+gZUurmzzM7+PyYvlyOOIIixp77LHYH7/AcwSOk2/22w/69oUPP7SGvU6uVKhgcwUff5yAEUR33AGVKrk3ECb33gslSsSuF3G4uCFwosMtt0Dlygk++B07brnFso0HD06gyqTffGMe34AB9r92cmXxYmvP0LOn1ZuKJ9wQONGhYkXzCj74AObMCVpN3FOunI0Zf/llgvQ2VrXb2po1oVevoNUkBPfc87+s8njDDYETPdwryBddulhewW23QXp60GryYMoUq5p3xx024+3kyrx5MHEi9O4dn0nXbgic6LH//jZ2/P77RSBQPvqUKmU287vv4I03glaTCxnewCGHWAU9J0/uvtumzuJ1KsUNgRNd+vSx4YOBAxNo8Ds4rrwSmjSxYaLdu4NWkwNvvWXDfUOGWLlpJ1dSU+Htt80IVKkStJrscUPgRJfy5eGuu2zw28tO5Enx4hZnvmQJvPBC3uvHnD17bDioUSPo1CloNQnBoEGWZ9enT9BKcsYNgRN9brwR6te3kJg9e4JWE/e0bw9HH22Ti9u3B60mCy+9ZFVG773XrJaTK1OmWGHBO+6w+Il4xQ2BE31KlrRko3nzrGmJkysicN99sGYNPPVU0GoysWOHDXa3agUXXRS0mrgnPd1GROvWhe7dg1aTO24InNhw2WVw5JE2+L1jR9Bq4p7TToMzzrBhoi1bglYT4plnYNUqs1IiQauJeyZNson/jM6d8YwbAic2FCtmJRdXrYqz29z4Zfhwa14ydmzQSrA6GMOGwcknw5lnBq0m7tm506puNG9uAQDxjhsCJ3aceabd6g4bBn/9FbSauKdNG7jwQhg9GjZkW+A9howeDevXmzF3byBPnnnG6grdf7/dA8U7CSDRKTKI2IXk99+tWauTJ/ffbw1sAs3JW7fO2mldeikcc0yAQhKDrVutPcPJJ8M55wStJjzcEDixpXVruOQSMwTr1wetJu7JqFT59NMWrBMId98Nu3aZVXLyZMwY8+ASyXlyQ+DEnuHDLS7SyxaHxd13Wy2iQYMCOPj8+fDf/1qltPr1AxCQWKxfb87TRRcllvPkhsCJPYcfboV1nnrKSjI6uVKjhhmBd9+FL76I8cEHDrTaCPHURSWOuesuu8e5776gleSPQhkCEakiIlNEZGnoOafG9XsydSd7L9PyeiIyM7T9xFBbSycZGDLESjH27x+0koSgTx+oXdu6mcWsIN20adZT4rbboGrVGB00cZk3D8aPt26tRxwRtJr8UViPYBDwmao2AD4Lvc6Of1S1ZejRPtPykcDY0PabgBsKqcdJFGrWtPi699+31EsnV8qVs5G02bOtimXUSU83q1OnjpeZDgNVq7q+//7mFSQahTUEHYCMiigvYA3owyLUsP40IKPOYr62d4oAvXtb2mXfvl56Igw6dbKukIMHx6D0xKuvwty5Np9TpkyUD5b4fPQRfPqpzefEa2G53CisIaipqusAQs85VdouIyKpIvKtiGRc7KsCm1U1o8biGuCgnA4kIl1D+0hNS0srpGwnLihTBkaOhB9/hGefDVpN3FO8uE1ErloFjz4axQNt22bW5sgjEyMbKmB27TLnqUED6NEjaDUFI09DICKfishP2Tw65OM4dUINk68EHhKR+kB2gVU51ilW1XGqmqKqKdWrV8/HoZ245tJL4fjjrSqXJ5nlyRlnwLnnWtmC336L0kFGjoTVq+HhhxMjGypgxo2z0N7Ro62nRCKS539ZVc9Q1abZPN4F1otILYDQc7b5j6q6NvS8HJgOHAn8DlQSkRKh1WoDawv9iZzEQsRqKGQEXjt5MnasDQ1FpQH6qlXwwANwxRVw4olROEDRYtMmGw469VQ4//yg1RScwpr794DOob87A+9mXUFEKotI6dDf1YDjgQWqqsA04JLctneSgNatbQB8zBhYuTJoNXHP4YfDf/4Dzz0Hs2ZFeOf9+plxfuCBCO+4aDJsGPzxh311EyV5LDsKawhGAGeKyFLgzNBrRCRFRMaH1mkEpIrID9iFf4SqLgi9NxDoKyLLsDmD/xZSj5OoZBRl8XDSsLjjDjjgAGsLHbFw0mnTrEfm4MFw8MER2mnRZcECeOQRuP56m8RPZEQTsH1gSkqKpqamBi3DiTTDhlni0uTJcNZZQauJe158Ea65xjyDa68t5M5277bJ4a1b7QpXtmwkJBZZVG2+Zu5c6yaXKNOWIjInNF/7L3wmyIkf+veHww6z21zvWZAnV10Fxx5rWcd//lnInT39NPz0k9WAciOQJ5MmwdSplkGcKEYgN9wQOPFD6dLw2GN2i+XVSfOkWDEbmtiwwaKICszGjeaJnX661b12cmXLFkt9Oeoo6No1aDWRwQ2BE1+0bQsXX2zDRKtWBa0m7klJgRtusEjPhQsLuJPbb7fQ3YcfTuwZzxhx772wdi08/njRadvshsCJPzJCMPr0CVpJQjB8OFSoYAVC8z3lN2OGDQv16gVNmkRFX1FiwQIL373hhsSqLpoXbgic+KNOHRuqeOcdy913cqVGDcsBmz4dJkzIx4a7dlmzg9q1rZOKkyuqcPPNVoy1qLVmcEPgxCd9+1oJx169YlBYJ/Hp0gWOO87SADZuDHOjhx6ykpmPPmouhZMrEydahO3w4UVjgjgzbgic+KRUKRuE/fnnxCvuHgDFill7h82bYcCAMDZYtQruuQfat4cLvNZjXvzxh9VITEkpOhPEmXFD4MQvp58OV19tfvi8eUGriXuaNYNbb7X6fbk2sMkY4wALO3LyJMPTGj++6EwQZ8YNgRPfjB0LlSvb7JyXqs6Tu+6yyt7duuUyovb66/DBB9Yc6JBDYikvIfn0U0vaGzAAWrQIWk10cEPgxDdVq9pd6+zZFt7o5Eq5cjZEtGhRDvO/aWnmDaSkeFRWGGzbZkNBhx+emA1nwsUNgRP/XH45tGtnBXaWLw9aTdzTti1cd51FEs2eneXNXr1sIuG556BEiWy3d/7HXXfBihXwzDNFuz+PGwIn/hGBJ5+0C1fXrgUIlk8+xoyxonTXXZepWsc778Brr1lobtOmgepLBGbOtJHJbt3gpJOCVhNd3BA4iUHt2tae67PP4IknglYT91SqZA1T5s8PlZ/44w/o3t3KZA7KqbW4k8G2bVbQr3Zt86yKOm4InMSha1c4+2wrTrd4cdBq4p7zzoPOna3fz5xOYy3s5bnnoGTJoKXFPYMGWcmr55+3hvRFHTcETuIgAv/9r1XHvOYaK53s5MrYsVCz4jau/r+ObBtwT+IXzo8Bn35qOXa9e1vnsWTADYGTWBx4oM0XzJpV9PL8o0DlLb/w/I4rWUhj+m0cHLScuGfzZptXadgwub5ehQobEJEqwESgLrASuExVN2VZ51RgbKZFDYErVPUdEXkeOBnIqKZ+rap+XxAtu3btYs2aNWz3cgQxo0yZMtSuXZuSsR5quOwyePddi4885xwLhXT2Zc8euOYaziw2h1tv2MyDT1finPMSu7duNMnIs1u3zmrxJVVbBlUt8AN4ABgU+nsQMDKP9asAfwDlQq+fBy7J73FbtWqlWVm+fLmmpaVpenr6Pu85kSc9PV3T0tJ0+fLlwQj44w/V2rVVDztM9c8/g9EQ79x/vyqoPv+8bt+u2rKlarVqquvWBS0sPnn2WTtdQ4YErSR6AKmazTW1sENDHYAXQn+/AORVtOQS4P9UdVshj7sP27dvp2rVqojXU48JIkLVqlWD88AqV4ZXX7Ugbw8p3ZfZsy1M9NJL4ZprKF0aXnnFOlFee20E+xwXERYsgJtugtNOs/YMyUZhDUFNVV0HEHqukcf6VwCvZlk2XER+FJGxIlI6pw1FpKuIpIpIalpaWk7r5EO6U1gCP98nnGANbCZOtFhJx9i4ES65xOZTnnpqb7OZRo1s8njy5OQIiQyXbdtstHG//eCll4pmLaG8yNMQiMinIvJTNo8O+TmQiNQCmgGTMy0ejM0ZtMaGjQbmtL2qjlPVFFVNqR6HNWA3b97MEzGKb58+fTrffPNNju+/8847DI1gffkrrriCpUuXRmx/EWXAAAsp7d0bvi/Q9FLRIj3dCvX99hu88QZUqfKvt7t1g44dLUn7s88C0hhn9OplHsFLL0GtWkGrCYjsxovCfQCLgVqhv2sBi3NZtzcwLpf3TwE+COe42c0RLFiwIAIjaAVnxYoV2qRJk3xtk56ernv27Mn3se6++24dNWpUju8fe+yxmpaWlu/95sT06dO1S5cu2b4X9HlXVdUNG1QPPFC1QQPVzZuDVhMsQ4faQPeTT+a4ypYtqo0b23zBL7/EUFsc8txzdrpuuy1oJbGBHOYICmsIRvHvyeIHcln3W+DULMsyjIgADwEjwjluPBqCyy+/XMuUKaMtWrTQfv366ZYtW/S0007TI488Ups2barvvPOOqprBaNiwofbo0UNbtmypK1eu1PHjx2uDBg305JNP1i5duuhNN92kqqobNmzQiy66SFNSUjQlJUW/+uorXbFihdasWVMPPPBAbdGihX7xxRf/0rF48WI95ZRT9r7+7bff9IILLtDmzZtr8+bN9euvv1ZV1QcffFCbNGmiTZo00bFjx6qq6tatW/Xcc8/V5s2ba5MmTfS1115TVdU9e/Zo3bp1ddeuXft87qDP+16++EK1RAnV885T3b07aDXB8MknqiKqnTqp5hE0sWiRaoUKqkcfrbp9e4z0xRnffqtaqpTqaaepZvPVLpJEyxBUBT4Dloaeq4SWpwDjM61XF/gVKJZl+6nAPOAn4CWgQjjHzdMQ9O6tevLJkX307p3rCc7qEezatUv/DEWzpKWlaf369TU9PV1XrFihIqIzZsxQVdVff/1VDznkEN24caPu3LlTTzjhhL2GoGPHjvrll1+qquqqVau0YcOGqpq7R/Dss89q3759976+7LLL9l7od+/erZs3b9bU1FRt2rSpbt26Vbds2aKNGzfWuXPn6htvvPGvO//Nme6uzzjjDE1NTd3neHFjCFRVn3jCvtIDBwatJPYsW6ZatapqkyaqW7eGtcnrr9vp6tYtT7tR5Pj1V9VatVTr1VP9/feg1cSOnAxBofIIVHUjcHo2y1OBLplerwQOyma90wpz/HhGVbntttv44osvKFasGL/++ivr168H4JBDDuGYUOfrWbNmcfLJJ1MlNJZ76aWXsmTJEgA+/fRTFixYsHeff/31F1u2bMn1uOvWrSPzHMrUqVOZEGpkW7x4cfbff3+++uorLrzwQsqXLw/ARRddxJdffsnZZ59Nv379GDhwIO3atePEE0/cu58aNWqwdu1aWrVqVdhTEz169IAff7SZ0GbN4KqrglYUGzZtsnoSqlZYLvR/zYtLLoGBA+10NWyYPFWpt2+Hiy6Cv/6yifOqVYNWFDxFsw7tQw8FrYCXX36ZtLQ05syZQ8mSJalbt+7eUMvymX6omkvYY3p6OjNmzKBsPjJbypYty59//pnrOjkd8/DDD2fOnDl89NFHDB48mLPOOou7QkXYt2/fni8dgfHww7BwoTWyadAA2rQJWlF02bXLrujLl1tthMMOy9fm990HS5dai+h69aBDvkJAEg9Vq703cya89ZbdLzheYiJi7Lfffv+6W//zzz+pUaMGJUuWZNq0aaxatSrb7dq0acPnn3/Opk2b2L17N2+++ebe98466ywee+yxva+/D0XFZD1WZho1asSyZcv2vj799NN58sknAdizZw9//fUXJ510Eu+88w7btm3j77//5u233+bEE09k7dq1lCtXjk6dOtGvXz/mzp27dz9LliyhSZMmBTgzMaZUKYuWqVXLUmgznYsihyr07AlTp1oPxQLUSi5WDF580ZKzr7wS5syJgs444s474YUXrDnbhRcGrSaOyG68KN4f8ThZrGpj+k2aNNF+/fppWlqaHnPMMdqqVSu94YYbtGHDhrpixYpso4uefvrpvZPF3bt319tCIQxpaWl62WWXabNmzbRRo0barVs3VbUJ4WbNmmU7Wfz3339r48aN92ZY//bbb9q+fXtt2rSptmjRQr/55htVzX6y+OOPP96735SUFJ09e/befbRu3TrbzxwP5z1bFi60MfNDD1VduzZoNdFh2DCNVMjLunWqderYuPnKlRHQFoc88oidrhtvTL45kQyIxmRxUI94NQQFZcuWLapqE8zt2rXTt956q1D769Wrl06ZMiUS0lRVdcyYMTp+/Phs34vr8z5zpmr58qotWqhu2hS0msjy8MP2873qKtUChCBnx7x5qvvvb1U7iprtnDjRAqo6dEieCKHsyMkQ+NBQHHDPPffQsmVLmjZtSr169bjggrwqdeTObbfdxrZtkaviUalSJTp37hyx/cWMNm1sIHjBAhv8/uefoBVFhmeftQS6Cy6wgvnFIvMzbtoUPv7YctHOOMPaGxcFpkyxHLvjj7eqJN6hMxuysw7x/ihqHkEikxDn/dVX7XbwzDNV//47aDWFY+JE1WLFVM86K2oJANOnq5YpY0Xq/vgjKoeIGVOm2Gdp3jzxP0skwD0CJ2m54grrzPXppzaBHEFvKaa89pqFxB5/PLz9NpTOsTRXoTj5ZItCXbAA2ra1LpeJSMa/u0EDK6dRuXLQiuIXNwROctC5M0yYANOn29Vt06Y8N4krnnnGwnqOOw4++ADKlYvq4dq2hTfftLSMk06CtWujeriI8+abllrRoIEFVVWrFrSi+MYNgZM8dOpkg8SzZsGJJ8KaNUEryhtVC/bv2tWa8Hz8MVSsGJNDt2sH//d/sGqVFXoN5TnGPU8/bdW3W7Uyu+9GIG/cEDjJxWWX2dXtl1/g2GMhU65E3LFzJ1x/vRXIv+oqGw6KcVLfqafaHfWWLXDMMfZ3vLJnjxWj7d4dzj3XhoayFF91csANQQQ57rjjIr7PlStX8sorr+T4/rp162jXrl2u+whHV1yXmo40p50GX35pdfqPP946tsQb69ZZ6M7zz8M991jWV6lSgUhp3doycWvVsiGjJ56Ivz5AmzfbfMCoUVZp5O23oz56VrTIbgY53h/JFDU0bdo0Pe+883J8v1+/fnsrmxaG3EpN50ZCn/f161VPPNHi8W++WXXbtqAVGZ99plqjhmq5cqqvvBK0mr1s3qx67rl2ui6/PH46hM6caXmDJUrkWn3b0ZyjhgK/qBfkEa+GoHz58qpqF++TTz5ZL774Yj3iiCP0yiuv3Jvpe8ghh+iAAQO0devW2rp1a126dKmqqnbu3Flff/31ffZ19NFHa8WKFbVFixY6ZsyYfY5Zr1493R4KI/zpp5+0devW2qJFC23WrJkuWbIkbF25lZrOjXg474Vixw7VPn3sp9CkieoPPwSnZds21f79LTy0YUPVn34KTksO7Nmjet99JrF+fdVQcdxA2LXL2jKXKGFZ0V99FZyWRCEnQ1AkUyv69Il8s6qWLfNXy+67775j/vz5HHjggRx//PF8/fXXnHDCCQBUrFiRWbNmMWHCBPr06cMHH3yQ435GjBjB6NGjs11nxYoVVK5cmdKhMMKnnnqK3r17c9VVV7Fz50727NkTtq5ixYpx2GGH8cMPP8R3hdFIU6qU9W9s29aa+bZqBf37WwuvWI4tfPkl3HgjLF5sz2PGQIUKsTt+mBQrBoMH2+TxNddYRNFNN9l89n77xU7HnDk2fz53rtXcGzfOw0MLg88RRIk2bdpQu3ZtihUrRsuWLVm5cuXe9zp27Lj3ecaMGQU+RtaS08ceeyz33XcfI0eOZNWqVdlWC81NV0ap6aTk7LPhp58ssuj++6FJE4swinaX95Ur4fLL7Yr6zz/wySd2VYtDI5CZiNgeVwAACINJREFUE0+EefPgllvg8cet6OnTT8Pu3dE97q+/WrvNNm0spPX112HSJDcChaVIegRxUIV67106WB+A3Zl+IZmbvmf8XaJECdJDFx1VZefOnXkeo2zZsntLWwNceeWVHH300Xz44Ye0bduW8ePHc9pp/275kJuuhCk1HS2qVbPEs2uvtUa2V15pRuGOO6xUZcmSkTvWkiXwwAOW21CihE0I9+sXdi+BeKBCBav63amTlbHu3t0cmf79bVmZMpE71sqV8Mgj8OSTFh10881WQbRSpcgdI5kplEcgIpeKyHwRSReRlFzWO1tEFovIMhEZlGl5PRGZKSJLRWSiiAQTFhFjJk6cuPf52GOPBaBu3brMCdUAfvfdd9m1axeQe8npww8//F939MuXL+fQQw+lV69etG/fnh9//DFfuhKm1HS0Oflk+O478wi2b7c79rp17cqzaFHB9/vPP5YdfPbZ1gnm5ZdtfGPJErj77oQyAplp3Rq++MLKOpUvbyNbdeuaQcjnV/BfbN9uGc4XXwz165shuPRSGz17+GE3ApGksENDPwEXAV/ktIKIFAceB84BGgMdRaRx6O2RwFhVbQBsAm4opJ6EYMeOHRx99NE8/PDDjB07FoAbb7yRzz//nDZt2jBz5sy9zWuaN29OiRIlaNGixd51Myhfvjz169ff239g4sSJNG3alJYtW7Jo0SKuueaasDWtX7+esmXLUqtWrQh9ygSnWDErTbFwIbz/vnUwueceaNTIho169bKL+uLFdsXKiips2GC1DUaPtot/lSrQsaPt84477Db3scegdu1Yf7qII2JO05w5Fr9/9NHmmbdoYRfxbt0sSvfHH3M/XV9/bV7FhRdCjRr2/MUXlh+wYoU5UPXqxf7zFXVEIxAQLCLTgX5qLSqzvncscI+qtg29Hhx6awSQBhygqruzrpcbKSkpmpr670MtXLiQRo0aFe6DxIC6deuSmppKtQilO7799tvMmTOHYcOGFWo/Y8eOpWLFitxwQ/5scaKc94jw668WoP7OOzBjxr9rFlWvbpPLpUrB33/D779bQlgGDRvahHT79nDKKRGrGBrP/P67jeF//DFMm2ZJaWBGY//97Y6+RAk7jX/+aactg/r1Ld3j0kstqc0rhkYGEZmjqvuM3sTi9B4ErM70eg1wNNb4frOq7s60fJ++xhmISFegK0CdOnWiozQBufDCC9m4cWOh91OpUiWuvvrqCCgqwhx0kA1O33yzzYr++CPMn2939mvWwI4d9ihXzhrhHnig1XZu1gxq1gxafcypVs2Su3r0sNO1YIE5Q4sWwcaNVu5pzx47XfvtZ3f69evDkUfaqXNiR56GQEQ+BQ7I5q3bVfXdMI4h2SzTXJZni6qOA8aBeQRhHDcuyTymHym6dOlS6H1cd911EVCSRJQoAUcdZQ8nT0qUgObN7eHEH3kaAlU9o5DHWAMcnOl1bWAt8DtQSURKhLyCjOWO4zhODInFQOVsoEEoQqgUcAXwXijLbRpwSWi9zkA4HkaORGK+wwkfP9+OUzQobPjohSKyBjgW+FBEJoeWHygiHwGE7vZvBiYDC4FJqjo/tIuBQF8RWYbNGfy3oFrKlCnDxo0b/eIUI1SVjRs3UiaSweKO4wRCRKKGYk12UUO7du1izZo1/0qwcqJLmTJlqF27NiUjmWjlOE7UCDJqKCaULFmSeh5g7DiOk2+KfjCz4ziOkytuCBzHcZIcNwSO4zhJTkJOFotIGrCqgJtXw3IYEpVE1w+J/xkSXT8k/mdIdP0QzGc4RFWrZ12YkIagMIhIanaz5olCouuHxP8Mia4fEv8zJLp+iK/P4ENDjuM4SY4bAsdxnCQnGQ3BuKAFFJJE1w+J/xkSXT8k/mdIdP0QR58h6eYIHMdxnH+TjB6B4ziOk4mkMgQ59U5OBETkWRHZICI/Ba2lIIjIwSIyTUQWhvpc9w5aU34RkTIiMktEfgh9hiFBayoIIlJcRL4TkQ+C1lIQRGSliMwTke9FZJ+uiPGOiFQSkTdEZFHo93Bs4JqSZWgo1Dt5CXAm1iNhNtBRVRcEKixMROQkYCswQVWbBq0nv4hILaCWqs4Vkf2AOcAFiXL+AUREgPKqulVESgJfAb1V9duApeULEekLpAAVVbVd0Hryi4isBFJUNSHzCETkBeBLVR0fKs1fTlU3B6kpmTyCNsAyVV2uqjuB14AOAWsKG1X9AvgjaB0FRVXXqerc0N9bsJLkObYmjUfU2Bp6WTL0SKg7KRGpDZwHjA9aSzIiIhWBkwiV3FfVnUEbAUguQ5Bd7+SEuhAVFUSkLnAkMDNYJfknNKzyPbABmKKqifYZHgIGAOlBCykECnwiInNCvcwTiUOBNOC50PDceBEpH7SoZDIE+eqR7EQHEakAvAn0UdW/gtaTX1R1j6q2xFqrthGRhBmmE5F2wAZVnRO0lkJyvKoeBZwD3BQaNk0USgBHAU+q6pHA30Dg85XJZAhy6p3sxIjQuPqbwMuq+lbQegpDyJ2fDpwdsJT8cDzQPjTG/hpwmoi8FKyk/KOqa0PPG4C3sWHfRGENsCaTJ/kGZhgCJZkMQba9kwPWlDSEJlr/CyxU1TFB6ykIIlJdRCqF/i4LnAEsClZV+KjqYFWtrap1se//VFXtFLCsfCEi5UPBBoSGVM4CEiaSTlV/A1aLyBGhRacDgQdMFJkOZXmhqrtFJKN3cnHg2Uy9k+MeEXkVOAWoFuoTfbeqFrjHcwAcD1wNzAuNsQPcpqofBagpv9QCXghFoBXD+m8nZAhmAlMTeNvuKygBvKKqHwcrKd/cArwcuiFdDlwXsJ7kCR91HMdxsieZhoYcx3GcbHBD4DiOk+S4IXAcx0ly3BA4juMkOW4IHMdxkhw3BI7jOEmOGwLHcZwkxw2B4zhOkvP/kfNeJBnK7jsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(1)\n",
    "plt.suptitle('Sin and Cos',fontsize='18')\n",
    "plt.plot(steps, y_np, 'r-', label='target (cos)')\n",
    "plt.plot(steps, x_np, 'b-', label='input (sin)')\n",
    "plt.legend(loc='best')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面定义一下我们的网络结构"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "class RNN(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(RNN, self).__init__()\n",
    "        self.rnn = nn.RNN(\n",
    "        input_size=INPUT_SIZE,\n",
    "        hidden_size=H_SIZE, \n",
    "        num_layers=1, \n",
    "        batch_first=True,\n",
    "        )\n",
    "        self.out = nn.Linear(H_SIZE, 1)\n",
    "    def forward(self, x, h_state):\n",
    "         # x (batch, time_step, input_size)\n",
    "         # h_state (n_layers, batch, hidden_size)\n",
    "         # r_out (batch, time_step, hidden_size)\n",
    "        r_out, h_state = self.rnn(x, h_state)\n",
    "        outs = [] # 保存所有的预测值\n",
    "        for time_step in range(r_out.size(1)): # 计算每一步长的预测值\n",
    "            outs.append(self.out(r_out[:, time_step, :]))\n",
    "        return torch.stack(outs, dim=1), h_state\n",
    "         # 也可使用以下这样的返回值\n",
    "         # r_out = r_out.view(-1, 32)\n",
    "         # outs = self.out(r_out)\n",
    "         # return outs, h_state"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面我们定义我们的网络"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "rnn = RNN().to(DEVICE)\n",
    "optimizer = torch.optim.Adam(rnn.parameters()) # Adam优化，几乎不用调参\n",
    "criterion = nn.MSELoss() # 因为最终的结果是一个数值，所以损失函数用均方误差"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由于没有测试集，所以我们训练和测试写在一起了"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCHS: 19,Loss:0.139491\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCHS: 39,Loss:0.007957\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCHS: 59,Loss:0.025667\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCHS: 79,Loss:0.004511\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCHS: 99,Loss:0.012425\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCHS: 119,Loss:0.006166\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCHS: 139,Loss:0.017573\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCHS: 159,Loss:0.005687\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCHS: 179,Loss:0.008566\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCHS: 199,Loss:0.000836\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCHS: 219,Loss:0.003727\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCHS: 239,Loss:0.005441\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCHS: 259,Loss:0.005437\n"
     ]
    },
    {
     "data": {
      "image/png": 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FvkiMGjsWmjSBCy/0zK79BKWevhtatrR/BU44IejyJA4p8EVi0BtvwM03Q80a6cw8905OHfQUdO5sV9EWKRJ0eRKnFPgiMWbAAGjfHv5RZz/Tjm/BiWOGwFNPwUsvqVWChEXLMkVihPfQsyf06AHNbtjL25vrUSRlHrz2mjW3FwmTAl8kBngPDz0EffvCbc138saymhRcvRLGj4emTYMuT/IJBb5IwPbvh06dbCDfqfVWXppTlWO2b7N+x7VrB12e5CMKfJEA7dsHbdvaudhHbtvAMx/8HVeoIMyeDVWrBl2e5DM6AyQSkN27oUULC/tn2q7k2QnlcaecDPPnK+wlTyjwRQKwc6dtXDJpEgy8LYVuoyrDeedZ2P/tb0GXJ/mUAl8kyrZtsyZon34Kb948nc4jq8Pll8OsWXD66UGXJ/mYAl8kijZtsvOwKSmesY3eps07DWxD2o8+gpNOCro8yecU+CJRsm6dtaz//nvPlGsG0Pz9W+HOO62HQtGiQZcnCUCBLxIF330HtWrB5s2eTy57gvrTu8Ljj8Mrr0CBAkGXJwlCyzJF8tjXX0P9+uCcZ9YlD1B1xgvw3HN2pZVIFGmEL5KH5s61Oftji3rmnt+Rqp++AC++qLCXQCjwRfLIRx/ZyL7UGenMK/dPzps9FF59Fe69N+jSJEEp8EXywNix0KgRVDxvP3NLNOWsuaNh+HDo2DHo0iSBKfBFImzoUOtlX6NaGslFrqXk5x/A229bDwWRACnwRSKoTx/rZNygzl6m767NSV/PgnHj7F8AkYAp8EUiwHt49FE7F9vyxt28v7kWxZalwMSJam8sMUPLMkXClJ5uuw8OHgz/umUXg7+uQYHV38OUKdZDQSRGKPBFwrBvH7RrZ1P0D921g94zknAbfrYlOuplLzFGgS+SS3/8AS1b2kD+2Ye28siEJNiyBaZPt8tqRWKMAl8kF7Zvt2WXc+bAK09u5q5h1ezGGTOgevWgyxPJkgJf5Cj98gtce621TBj1/AZa968Ge/ZYv+OLLgq6PJFsRWSVjnOugXNuhXNulXPukSzuL+KcGxu6/3PnXNlIvK5ItP38M1x1FSxdCu+/+COt+1xkm9LOmqWwl5gXduA75woAg4BrgUrAzc65SpkOuwPY6r0/F+gPPBfu64pE2w8/2D4lP/0E0wZ+z/VPXAIFQ/vPXnBB0OWJ5CgSI/zqwCrv/Wrv/V5gDNA40zGNgRGh7ycAdZxzLgKvLRIVS5ZY2O/YAZ8OXMZVD1aH446zSfwKFYIuT+SIRCLwSwM/Zfh5fei2LI/x3qcBvwOnRuC1RfLc55/bNM4xx8Cc/l+SdE9NKF7cwl77z0ociUTgZzVS97k4BudcB+dcqnMudcuWLREoTSQ8M2dCnTqW7/OeX0ClO6+EUqUs7M8+O+jyRI5KJAJ/PXBWhp/PBDZkd4xzriBwEvBb5ify3g/x3id575NKliwZgdJEcu+99+C666BcOZj7VDLl2texH2bPhtKZf4kViX2RCPwUoLxzrpxzrjDQCpic6ZjJQJvQ982BT733h4zwRWLFyJHQooUtvJndbRql2jWAihVtNc4ZZwRdnkiuhB34oTn5zsB04FtgnPd+mXPuKedco9BhbwCnOudWAV2BQ5ZuisSKgQOhTRvrjDCj8/sUb3MDVKli6+xLlAi6PJFci8iFV977qcDUTLf1yPD9bqBFJF5LJK94D08/DU88AU2awDuNx1Ck7a1QowZMnQonnhh0iSJh0ZW2IljY338/9O9vo/vXaw2nYLs7bHnOlClw/PFBlygSNgW+JLy0NNu0ZPhw2262f4VXOabDXdba+L33oFixoEsUiQgFviS0PXugdWvbp+SJJ+CJkwbgOv0brr8exo+HokWDLlEkYhT4krB27rS5+k8+gQED4L7dz0HXR6BZMxg9GgoXDrpEkYjSFoeSkLZuhXr17MKq4cM89237DzzyiA33x4xR2Eu+pBG+JJxNm2x6/rvvYPw4T9PUR6F3b2jbFl5/HQoUCLpEkTyhwJeE8uOPULcubNgAH0zx1Puoq83ndOwIr7xiDXNE8in97ZaEsXAh1KxpG5jM+Dideu93Ck3e32c7kCvsJZ/T33BJCG++aUvqjz0W5s3eT81h/7KQf+ghW3yvbt2SABT4kq+lpUGXLtCuHVxxBXyxII3Kz7eBYcOgRw+bu1fYS4LQHL7kW7/9Bi1b2r7i990HfXvtoWCbW+Ddd+GZZ6Bbt6BLFIkqBb7kS8uWQePGth3hsGHQrtl2uOFGSE62KZwuXYIuUSTqFPiS70yaBLfeau1vZs2CmudsgtrX2j6Fb71ld4okIM3hS75xoNvljTfC+edDairUPH011KoFK1bA5MkKe0loGuFLvrBzp103NWGCZfqQIXDsysXQoAHs3WuX1NaoEXSZIoHSCF/i3tq1cNll1gCtTx/brerYL2bDlVdCwYIwb57CXgSN8CXOzZ4NzZvDvn3w4Yc2oOe99+Dmm+Gcc2D6dDjrrByfRyQRaIQvccl764RQt67tOvjFF6GwHzrU/gW46CKYO1dhL5KBAl/izt69cOed0KkT1K9vLRPOK++hZ0/byaR+fVt8f+qpQZcqElMU+BJXNm2COnXspGy3brYE86QT0m2rqscftzO2kybBcccFXapIzNEcvsSNr76yJZe//GIt61u2xIb7bdrYDV272llbNUETyZL+z5C4MGYMXH65fT9vXijsd+ywrQjHjIHnn4d+/RT2Ioeh/zskpu3fb1M3N98Ml1wCKSlw8cXAli1wzTXw6ae2+/iDDwZdqkjM05SOxKzff4dbbrHllh06wMCBoZ0H1661E7Pr1tkSzBtuCLpUkbigwJeYtHKlNT9btcqWX951V+iOJUts/eWuXbYSp1atQOsUiScKfIk506ZBq1ZQqJBl+lVXhe6YN89G88WK2Rr7Cy4ItE6ReKM5fIkZ3kPfvtCwIZx9ts3X/xn2kydDvXpw2mmwYIHCXiQXFPgSE/74A267zc69Nm1qmV62bOjO4cPtxgsvtFH+2WcHWapI3FLgS+B+/tn6nI0aZe2Nx40LXTflPTz3HNx+u11t9emnULJk0OWKxC3N4UugPvvMBu//+x+8/76dqAUgPR0eeMB2p7r5ZtuFvHDhIEsViXsa4Utghg+H2rVtNL9wYYaw37fPrp7t399aJowapbAXiQAFvkRdWpptKn777TaV88UXULly6M6dO6FRIwv5Xr1gwABdPSsSIZrSkaj69Ve46Sabju/SxVrfFCyY4c6GDW15ztCh0L59oLWK5DcKfImapUtt2mb9epvOads2w53r1tnVs2vWwLvvWpc0EYkoBb7kOe+tv1mHDnD88bZL1V92HFy+3MJ++3bboerPxfciEkmaHJU89dNPNiXfurXN06emZgr7zz6zNphpaTBnjsJeJA8p8CVPpKfDoEFQqZLN1/frZ9dMlS6d4aCpU219/amnwvz5UKVKYPWKJAIFvkTcsmU2aO/cGS67zObuu3bNcHIW4K23bOh//vkW9uecE1i9IolCgS8Rs2cPPPmk7R++YgWMHGmN0MqVy3Rgv37WR+GqqyA52frjiEieC+ukrXOuODAWKAusBW7y3m/N4rj9wJLQj+u8943CeV2JPfPnw7/+Bd9+az3s+/fPoguC9/Dww7YWs0ULG+UXKRJIvSKJKNwR/iPATO99eWBm6Oes/OG9rxr6UtjnI9u3Q6dONoWzc6dNy48alUXY79sH7dpZ2N99N7zzjsJeJMrCDfzGwIjQ9yMALZ5OIJMn20nZwYPtytlly+Daa7M48L//tTtGjLA5n5dfhgIFol2uSMILN/BP995vBAj9md1kbFHnXKpzbqFzLtt/FJxzHULHpW7ZsiXM0iSv/Pe/drVs48ZQvLitrBwwwNbYH2LGDKha1fodDxsGTzwBzkW9ZhE5gjl859wM4Iws7up+FK9Txnu/wTl3DvCpc26J9/6HzAd574cAQwCSkpL8UTy/RIH3doXs/fdb//pevax/faFCWRyclgb/+Y8ddP75FvzatEQkUDkGvve+bnb3Oec2OedKee83OudKAZuzeY4NoT9XO+dmARcBhwS+xK5Vq+xK2eRka3g2ZAhUqJDNwevX25VWc+dah7SXXgo1uBeRIIU7pTMZaBP6vg0wKfMBzrlTnHNFQt+XAGoBy8N8XYmSffugd2/bbOqrr+C11yz0sw37Dz+0KZyvvrJVOG+8obAXiRHhBn5voJ5z7nugXuhnnHNJzrnXQ8ecD6Q65xYDyUBv770CPw6kpkK1atCtG1x3nbW86dAhm27Fe/fa/M7118OZZ1rg33pr1GsWkeyFtQ7fe/8rUCeL21OB9qHvFwAXhvM6El07d9q51f794fTTrXll06aHecDatdCqFXz+uS257NcPihaNVrkicoTULVP+4pNPoGNH61LcsaNN55x88mEeMHGizdN7D+PHQ/PmUatVRI6OWisIYHuPtGkD//iHrbqZPRteffUwYb97N9xzDzRrBuedB19/rbAXiXEK/ATnPYwebSsnR4+Gxx6DxYttJU62vv/euqK9/LJ1RZs3T83PROKApnQS2I8/wl13wUcfQfXqMHOmrcY5rHfesTO3hQvbpbY33BCVWkUkfBrhJ6D9++HFF21Dkjlz7PsFC3II+127rDta69bWt37RIoW9SJzRCD/BLFlie4N/8YW1txk8GM4+O4cHLV9uvRSWL4dHH7UraAvqr45IvNEIP0Hs3g2PPw4XXwyrV8Pbb9s1UocN+wO9FJKSYMsWa27fq5fCXiRO6f/cBDB3rs3GrFhh+4706wclSuTwoB07bE39qFFwzTX2Z6lSUalXRPKGRvj52Gef2arJK6+03aimT7cOxTmG/eLFNqofPdqmbz7+WGEvkg8o8POZ/fvh/fehVi1bOZmcbEstly61NfaH5b0tvr/0Uhvhz5wJPXqod71IPqEpnXzijz9s9P7CC7ZMvmxZa1LZrl02feoz+/13m/cZPx4aNLANaQ/ZtkpE4pkCP85t2QKvvGLXQP3yizU7GzcOmjQ5inOrKSnQsiWsWwfPPQcPPJBNhzQRiWcK/Dj1/fc2mn/zTVuBc8MNltNXXHEUG0p5b1tVPfywzdHPnQs1a+Zl2SISIAV+nFmwAPr2tXn6QoVs1U3XrtYa4aj8+qvN90yZAjfeaH3rixfPk5pFJDYo8OPA/v0waZIF/WefWS537w6dOsEZWW0+mZP5862d8ebNNtHfubP2mRVJAAr8GLZr18ETsatWQblyMHCgDcxztYlUerrN0T/+uJ3VXbAALrkk0mWLSIxS4MegzZth0CD7+vVXa2w2frydiM31CsnNm+Gf/7Q19S1b2qa0J54Y0bpFJLYp8GPIypU2mh8xwk7ENmpkJ2IvvzzMGZfkZGt6tm2bbUr7r39pCkckASnwA+a9zaz06WPdhgsXto1I/v1vqFgxzCf/4Qd49lkYNsx2HZ8+Hf7+94jULSLxR4EfkANXxPbtCwsX2onYxx6zE7Gnnx7mky9fbkE/erQt5bnnHmt6dkRXYIlIfqXAj7Jdu2zt/Asv2AD8b3+zufo2bXJ5IjajRYss2N99F4oVs/WaXbuqD46IAAr8qNm0yYL9lVfsROyll9qCmRtvjECrmoULLeg/+MBOxHbvDvfddwRd0kQkkSjw89iKFQdPxO7daydiH3zQGpuFdd7Ue9uuqmdPmDHD5oSeftrW1Ge787iIJDIFfh7Yt8/Ojw4daidiixSBtm3tRGyFCmE+ufe2tLJnT9s8/PTT7YzvnXdqjl5EDkuBHyHe2xT6yJF2rnTzZms22aOHnYg97bQwXyA93dog9OwJqalw5pl2FdYdd8Cxx0bkPYhI/qbAD9PGjbZd4MiRtl9s4cLWyOy222zP2EKFwnyB/fthwgSbo1+yBM45x351uO02ezERkSOkwM+FP/6w3jYjRtjsSno61KhhJ2RbtoxQD7J9++xXhWeesSuyKlaEt96yHjjaU1ZEckHJcYS8tynzkSOt3/z27XDWWdCtm3UsCHtu/oA9e2zdZu/esHYtVKkSgb4KIiIK/Bz98IMNrEeOhDVrbK188+a2bv6qqyK4T8iuXTZV06cP/PyzNdAZOBAaNj2luPQAAAf5SURBVFQbBBGJCAV+Fn7/3UbxI0faqN45qFPH9vNu2jQCF0hltGOHzQX162fbV115pY3w69RR0ItIRCnwQ9LS4JNPbF5+0iRrXlaxonUouOUWm76JqK1brRf9iy/a9/Xr2wVTV1wR4RcSETEJH/jffGMh//bbdjVs8eK20rFNG0hKyoNB9ubN0L+/XXa7Y4ddifXYY7YZrYhIHkrIwN+0yRbAjBgBixfbopfrr7eVjg0b5tFqxw0bbH7+tdfs14cWLeDRR+2krIhIFCRM4O/ebVe9jhwJ06bZ8vakJDsv2qpVHradWbsWnn/e9ozdv9/mh7p1i0DvYxGRo5OvA/9Ar/mRI2HsWDsZW7q09bL55z+hUqU8eNGdO+Hbb2HpUtt4ZPRomxdq1w4eftgunBIRCUC+DPw1aw4upfzhB+sU3LSpzctffXWElrP/8YcF+7Jlf/1as+bgMcWKwd13278wZ54ZgRcVEcm9fBf4q1ZB+fL2/dVX2/nQZs3ghBNy+YS7d8N33x0a7KtX268QYP0TKlSwtfPt2kHlyvb1t7/pqlgRiRn5Lo3OPdeWtV93HZx99lE8cM8ea2GQOdhXrbLeCWDhXb48XHyxzQkdCPZzz41A0xwRkbwVVuA751oATwLnA9W996nZHNcAeBEoALzuve8dzuvm5K67DnPnvn1ZB/v339tJVbA5n3PPhQsusOY4B4L9vPPUsExE4la4I/ylQFPgtewOcM4VAAYB9YD1QIpzbrL3fnmYr314aWk2Os8Y6kuXWtinpR0ozqZdKle2eZ8DwV6hgjWxFxHJR8IKfO/9twDu8FcnVQdWee9Xh44dAzQG8ibwN2yABg1sq6m9e+0256BcOQvzRo0OBnvFiuolLyIJIxpz+KWBnzL8vB64NKsDnXMdgA4AZcqUyd2rlSxpk/cNGlioX3CBBXtEG+CIiMSfHAPfOTcDOCOLu7p77ycdwWtkNfz3WR3ovR8CDAFISkrK8pgcFSpkO0OJiMhf5Bj43vu6Yb7GeiBj67EzgQ1hPqeIiBylSHVzP5wUoLxzrpxzrjDQCpgchdcVEZEMwgp851wT59x6oCbwoXNueuj2/3POTQXw3qcBnYHpwLfAOO/9svDKFhGRoxXuKp33gPeyuH0DcF2Gn6cCU8N5LRERCU80pnRERCQGKPBFRBKEAl9EJEEo8EVEEoTzPnfXN+U159wW4Meg68ilEsAvQRcRpnh/D/FeP8T/e4j3+iE+38PZ3vuSWd0Rs4Efz5xzqd77pKDrCEe8v4d4rx/i/z3Ee/2QP95DRprSERFJEAp8EZEEocDPG0OCLiAC4v09xHv9EP/vId7rh/zxHv6kOXwRkQShEb6ISIJQ4IuIJAgF/hFwzv3bObfMObfUOfeOc66oc66zc26Vc84750pk8Zhqzrn9zrnm2TznJc65JaHneMnlsE9kDNY/yzm3wjm3KPR1Wl7Vf7TvwTlX2zn3e4baemTznOWcc5875753zo0Nte+Op/rfdM6tyXBc1byq/2jfQ4b3sSj0mNnZPGdMfgZHUX9UP4Owee/1dZgvbIvGNcCxoZ/HAW2Bi4CywFqgRKbHFAA+xTqENs/meb/A2ko74CPg2jirfxaQFIufAVAb+OAInncc0Cr0/avAXXFW/5vZfT4x8B5OxvatLhP6+bQ4+wyOtP6ofQaR+NII/8gUBI51zhUEigEbvPdfe+/XZnP8PcC7wOas7nTOlQJO9N5/5u1vzUjgxsiX/aeI1h+Qo30PhxX6jeoaYELophHE1mcQi47mPbQGJnrv1wF47w/5uxTjn0GO9ccjBX4OvPc/A32BdcBG4Hfv/cfZHe+cKw00wUYr2SmNbf14wPrQbRGXR/UfMDz0a+zjeTkldbTvIaSmc26xc+4j51zlLO4/FdjmbYMeiKHPICSn+g/o5Zz7xjnX3zlXJFI1Z5aL93AecEpo6u9L59xtWRwTy5/BkdR/QFQ+g0hQ4OfAOXcK0BgoB/wfcJxz7tbDPGQA8LD3fv/hnjaL2/JkfWwe1Q9wi/f+QuCK0Nc/I1FvVnLxHr7C+olUAQYC72f1tFncFiufwZHUD9ANqAhUA4oDD0es6Exy8R4KApcADYH6wOPOufMyP20Wj4uVz+BI6ocofgaRoMDPWV1gjfd+i/d+HzARuOwwxycBY5xza4HmwCvOucy/pq7HNnM/IC83ds+L+g+MmPDe7wBGA9UjXXgGR/UevPfbvff/C30/FSiU+YQc1hDr5NCv9xBDn8ER1o/3fqM3e4DhxNBngP0dn+a93+m9/wWYA1TJdEzMfgYcWf3R/gzCpsDP2TqghnOuWGjaog62N2+WvPflvPdlvfdlsbnJu73372c6ZiOwwzlXI/SctwGT4qV+51zBAwHknCsEXA8szaP64Sjfg3PujANTTM656tjf818zHhM6d5KM/aMG0IYY+QyOpP7QfaVCfzps7jtmPgPsv+UVob8rxYBLMx8fy58BR1A/RP0zCF/QZ43j4Qv4D/Ad9mG+BRQB7sVGAWnYqOT1LB73JhnO4AOLMnyfFHq+H4CXCV31HA/1A8cBXwLfAMuAF4ECsfIZAJ1DdS0GFgKXZXieqcD/hb4/B1sttQoYDxSJs/o/BZaEnnMUcHysfAah4x/EVrosBbrE02dwFPVH9TMI90utFUREEoSmdEREEoQCX0QkQSjwRUQShAJfRCRBKPBFRBKEAl9EJEEo8EVEEsT/AxuTQImxagKSAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCHS: 279,Loss:0.004994\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCHS: 299,Loss:0.004386\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rnn.train()\n",
    "plt.figure(2)\n",
    "for step in range(EPOCHS):\n",
    "    start, end = step * np.pi, (step+1)*np.pi # 一个时间周期\n",
    "    steps = np.linspace(start, end, TIME_STEP, dtype=np.float32)\n",
    "    x_np = np.sin(steps) \n",
    "    y_np = np.cos(steps)\n",
    "    x = torch.from_numpy(x_np[np.newaxis, :, np.newaxis]) # shape (batch, time_step, input_size)\n",
    "    y = torch.from_numpy(y_np[np.newaxis, :, np.newaxis])\n",
    "    x=x.to(DEVICE)\n",
    "    prediction, h_state = rnn(x, h_state) # rnn output\n",
    "    # 这一步非常重要\n",
    "    h_state = h_state.data # 重置隐藏层的状态, 切断和前一次迭代的链接\n",
    "    loss = criterion(prediction.cpu(), y) \n",
    "    # 这三行写在一起就可以\n",
    "    optimizer.zero_grad() \n",
    "    loss.backward() \n",
    "    optimizer.step() \n",
    "    if (step+1)%20==0: #每训练20个批次可视化一下效果，并打印一下loss\n",
    "        print(\"EPOCHS: {},Loss:{:4f}\".format(step,loss))\n",
    "        plt.plot(steps, y_np.flatten(), 'r-')\n",
    "        plt.plot(steps, prediction.cpu().data.numpy().flatten(), 'b-')\n",
    "        plt.draw()\n",
    "        plt.pause(0.01)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "蓝色是模型预测的结果，红色是函数的结果，通过300次的训练，已经基本拟合了"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "deep learning",
   "language": "python",
   "name": "dl"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
